Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jiabo Ma"'
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 12, Pp 363-370 (2023)
In this study, the main components of the extract of (Lithocarpus litseifolius folium extract, LLFE) were analyzed,and the anti-oxidative stress and anti-aging effects of LLFE on C.elegans were evaluated using Caenorhabditis elegans (C.elegans) as a
Externí odkaz:
https://doaj.org/article/ba7f255ff5ba46238c0429c47a327d5b
Autor:
Shenghua Cheng, Sibo Liu, Jingya Yu, Gong Rao, Yuwei Xiao, Wei Han, Wenjie Zhu, Xiaohua Lv, Ning Li, Jing Cai, Zehua Wang, Xi Feng, Fei Yang, Xiebo Geng, Jiabo Ma, Xu Li, Ziquan Wei, Xueying Zhang, Tingwei Quan, Shaoqun Zeng, Li Chen, Junbo Hu, Xiuli Liu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Computer-assisted diagnosis is key for scaling up cervical cancer screening, but current algorithms perform poorly on whole slide image analysis and generalization. Here, the authors present a WSI classification and top lesion cell recommendation sys
Externí odkaz:
https://doaj.org/article/22c2f657a4034084a68ccb9d935f6590
Autor:
Yue Liu, Jiabo Ma, Xu Li, Xiuli Liu, Gong Rao, Jing Tian, Jingya Yu, Shenghua Cheng, Shaoqun Zeng, Li Chen, Junbo Hu
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 13, Iss 1, Pp 2050001-1-2050001-10 (2020)
Computer-assisted cervical screening is an effective method to save the doctors’ workload and improve their work efficiency. Usually, the correct classification of cervical cells depends on the nuclear segmentation effect and the extraction of nucl
Externí odkaz:
https://doaj.org/article/6394b1f10b5c45c886da7c9fe4d22172
Publikováno v:
IEEE Transactions on Medical Imaging. 41:383-393
Biomedical microscopy images with high-resolution (HR) and axial information can help analysis and diagnosis. However, obtaining such images usually takes more time and economic costs, which makes it impractical in most scenarios. In this paper, we f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a44a55c94ee76732a93223a59421e70d
https://doi.org/10.1109/tmi.2021.3112923
https://doi.org/10.1109/tmi.2021.3112923
Autor:
Gong Rao, Wenjie Zhu, Shaoqun Zeng, Ziquan Wei, Jiabo Ma, Ning Li, Wei Han, Xiuli Liu, Li Chen, Xu Li, Jing Cai, Xi Feng, Shenghua Cheng, Tingwei Quan, Sibo Liu, Xiebo Geng, Zehua Wang, Xiao Yuwei, Xueying Zhang, Xiaohua Lv, Jingya Yu, Fei Yang, Junbo Hu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications
Nature Communications
Computer-assisted diagnosis is key for scaling up cervical cancer screening. However, current recognition algorithms perform poorly on whole slide image (WSI) analysis, fail to generalize for diverse staining and imaging, and show sub-optimal clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e9bb61af00f2d2ce751a4870413ae2
https://doaj.org/article/22c2f657a4034084a68ccb9d935f6590
https://doaj.org/article/22c2f657a4034084a68ccb9d935f6590
Autor:
Jiabo Ma, Chen Zhixing, Xiuli Liu, Shaoqun Zeng, Jingya Yu, Sibo Liu, Shenghua Cheng, Xu Li, Li Chen, Jie Feng
Publikováno v:
IEEE Transactions on Medical Imaging. 39:2920-2930
In the cytopathology screening of cervical cancer, high-resolution digital cytopathological slides are critical for the interpretation of lesion cells. However, the acquisition of high-resolution digital slides requires high-end imaging equipment and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fedb7450a38477ffff17936daf186cea
https://doi.org/10.1109/tmi.2020.2980839
https://doi.org/10.1109/tmi.2020.2980839
Autor:
Siqi Wang, Hongyu Liu, Steve Street, Yuchi Zhang, Bohao Zhan, Xin Yang, Yuelu Pan, Jiabo Ma, Ya-Hsuan Tsai, Zimo Meng, Xinzhu Zhang, Haoliang Gao, Yi Wei, Yue Yang, Xilong Wu, Yijie Chen, Mairi Macintyre, Wui-Kee-Emily Wong, Ruijia Lu, Leah Samuel
Publikováno v:
ICERI2021 Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37fba4f9bf10db882ce463fc8799aef6
https://doi.org/10.21125/iceri.2021.0097
https://doi.org/10.21125/iceri.2021.0097
Autor:
Jiabo Ma, Jingya Yu, Yue Liu, Gong Rao, Li Chen, Junbo Hu, Shaoqun Zeng, Shenghua Cheng, Xu Li, Xiuli Liu, Jing Tian
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 13, Iss 1, Pp 2050001-1-2050001-10 (2020)
Computer-assisted cervical screening is an effective method to save the doctors’ workload and improve their work efficiency. Usually, the correct classification of cervical cells depends on the nuclear segmentation effect and the extraction of nucl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98967b242aec198e50b43774dad19a0d
http://www.worldscientific.com/doi/pdf/10.1142/S1793545820500017
http://www.worldscientific.com/doi/pdf/10.1142/S1793545820500017